DATASURE frac data cleansing services
Releases the value of your frac data
Analysis of the vast amount of frac data generated every day with an ever-increasing dataset is critical to achieving better operational efficiencies, well productivity and return on investment. This valuable data resource is often unused or underutilized due to the lack of resources or expertise to cleanse the data and make ready for analysis by data scientists or engineers.
Closes the gap between petrotechnical understanding and data scientists
The DATASURE service delivered by our STRATAGEN® fracture consultants harnesses the petrotechnical expertise required to understand the raw data combined with efficient frac data processing tools to accelerate the generation of analysis-ready data. The DATASURE service fits seamlessly within the fracturing workflow:
Empowers your teams to perform advanced well analysis
As part of the DATASURE service, our STRATAGEN consultants handle functional data cleaning such as:
- Mine your underutilized files and data
- Validate your data using field expertise
- Organize cleaned data for delivery to database and analytics teams
- Coordinate data flow between field operations and analytics teams
This allows your teams to focus on the high-value data analysis and interpretation required to optimize fracturing and well performance.
Case history: Frac data cleansing significantly accelerated for Eagle Ford operator
An Eagle Ford client needed to mine a vast amount of fracturing and wireline data collected from over 100 wells in order to analyze and drive faster and more accurate decisions in the field. Previously, they relied on IT teams to mine the data but experienced significant delays in progress due to a constant reliance on technical knowledge from the field on how to best organize and clean the data.
After two years, the IT team was only able to clean data on 5 wells for their data scientists. In comparison, the DATASURE frac data cleansing service conducted by the STRATAGEN team, data from 50 wells was cleaned and delivered to data analysis teams in just 13 weeks.
The client was able to:
- save time and money in producing clean data for machine-learning models
- utilize data and import into statistical models to drive completion efficiencies
- identify biggest return areas